An Energy Efficient LoRa-based Multi-Sensor IoT Network for Smart Sensor Agriculture System

Mishra, Shivakant; Nayak, Sanjeet Kumar; Yadav, Ram Narayan

doi:10.1109/wisnet56959.2023.10046242

Cited by 15 publications

(4 citation statements)

References 2 publications

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“…Smart agriculture covers many categories and scenarios. This paper combines previous summaries [6,7] and summarizes them according to the large fields and categories involved in agriculture, as shown in the figure below. In this paper, smart agriculture is mainly oriented to the field of planting and breeding, including crop planting, animal husbandry, and aquatic products.…”

Section: Smart Agriculturementioning

confidence: 99%

Survey of Intelligent Agricultural IoT Based on 5G

2023

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In the future, agriculture will face the need for increasing production, sustainability, wisdom, and efficiency, which will bring significant challenges to the development of modern agriculture. With the gradual popularization of 5G, advanced information technologies such as the Internet of Things and artificial intelligence promoted the evolution of modern agriculture to intelligent agriculture. The 5G-based Internet of Things will play an essential role in the development of smart agriculture. This paper investigates the research progress of 5G Internet of Things in smart agriculture. It sorts out the development status of 5G smart agriculture Internet of Things in recent years. Following that, the concept of 5G smart agriculture Internet of Things is put forward. It expounds on the connotation, architecture, and enabling key technologies. According to the key application scenarios of smart agriculture, practical cases are presented, the development trend and application value of 5G smart agriculture Internet of Things are shown, and the future development direction is put forward. Firstly, the concept of smart agriculture is distinguished, and the category scenarios of smart agriculture are summarized. Following that, the current review research on 5G-IoT is analyzed. This paper focuses on the analysis and summary of the changes brought by 5G to various key scenarios in smart agriculture. This paper analyzes the related key technologies and challenges, puts forward some key scientific problems, and summarizes the research ideas. Finally, the development trend and application value of 5G smart agriculture Internet of Things are shown. The future development direction is also proposed.

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Section: Smart Agriculturementioning

confidence: 99%

Survey of Intelligent Agricultural IoT Based on 5G

2023

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“…On the other hand, Mishra et al [ 9 ] use only three layers to develop an intelligent agriculture system: a sensing layer, a fog computing layer, and a cloud computing layer. The first layer is composed of sensors and actuators deployed across the crop field to systematically sense the physical parameters, such as air temperature, air humidity, solar radiation, soil temperature, and moisture.…”

Section: Introductionmentioning

confidence: 99%

Edge IoT Prototyping Using Model-Driven Representations: A Use Case for Smart Agriculture

Guevara,

Ryan,

Singh

et al. 2024

Sensors

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Industry 4.0 is positioned at the junction of different disciplines, aiming to re-engineer processes and improve effectiveness and efficiency. It is taking over many industries whose traditional practices are being disrupted by advances in technology and inter-connectivity. In this context, enhanced agriculture systems incorporate new components that are capable of generating better decision making (humidity/temperature/soil sensors, drones for plague detection, smart irrigation, etc.) and also include novel processes for crop control (reproducible environmental conditions, proven strategies for water stress, etc.). At the same time, advances in model-driven development (MDD) simplify software development by introducing domain-specific abstractions of the code that makes application development feasible for domain experts who cannot code. XMDD (eXtreme MDD) makes this way to assemble software even more user-friendly and enables application domain experts who are not programmers to create complex solutions in a more straightforward way. Key to this approach is the introduction of high-level representations of domain-specific functionalities (called SIBs, service-independent building blocks) that encapsulate the programming code and their organisation in reusable libraries, and they are made available in the application development environment. This way, new domain-specific abstractions of the code become easily comprehensible and composable by domain experts. In this paper, we apply these concepts to a smart agriculture solution, producing a proof of concept for the new methodology in this application domain to be used as a portable demonstrator for MDD in IoT and agriculture in the Confirm Research Centre for Smart Manufacturing. Together with model-driven development tools, we leverage here the capabilities of the Nordic Thingy:53 as a multi-protocol IoT prototyping platform. It is an advanced sensing device that handles the data collection and distribution for decision making in the context of the agricultural system and supports edge computing. We demonstrate the importance of high-level abstraction when adopting a complex software development cycle within a multilayered heterogeneous IT ecosystem.

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“…The keywords used were low cost & IoT& agriculture, and the databases queried were IEEE and ScienceDirect. Gill and Albaadani, 2021;John, 2016;Heble et al, 2018;Math and Dharwadkar, 2017;Mishra et al, 2023) and air temperature and humidity (Gill and Albaadani, 2021;Kasama et al,2019;Valenzuela et. al, 2018;Heble et al, 2018;Math and Dharwadkar, 2017;Mishra et al, 2023;Dai and Sugano, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Gill and Albaadani, 2021;John, 2016;Heble et al, 2018;Math and Dharwadkar, 2017;Mishra et al, 2023) and air temperature and humidity (Gill and Albaadani, 2021;Kasama et al,2019;Valenzuela et. al, 2018;Heble et al, 2018;Math and Dharwadkar, 2017;Mishra et al, 2023;Dai and Sugano, 2019). XBee and LoRa are the most used communication protocols.…”

Section: Introductionmentioning

confidence: 99%

TOWARDS SUSTAINABLE SUBSISTENCE AGRICULTURE IN ROMANIA WITH LOW-COST IoT MODULES AND SOLUTIONS – PROOF OF CONCEPT

HOTEI,

MARGHESCU,

NEGROIU

et al. 2023

INMATEH

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Climate change is having a strong impact on agriculture, and those most affected are small farmers and those practicing subsistence agriculture. Better management of resources is also needed in this context. IoT monitoring tools enable real-time monitoring of crops to make decisions, for example, regarding irrigation. For them to be used by smallholder and subsistence farmers, the system must be inexpensive and easy to use, preferably with interfaces with which the user is already familiar. We wanted to develop a low-cost system with commercially available components and a familiar interface. Since most households in Romania have Internet access or a cell phone with data, data transfer via WiFi was chosen, and Google Sheets was used for data management. For power supply, different methods were tested, from batteries to autonomous systems with solar cells and supercapacitors. The system has successfully passed the first tests and is now being implemented.

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An Energy Efficient LoRa-based Multi-Sensor IoT Network for Smart Sensor Agriculture System

Cited by 15 publications

References 2 publications

Survey of Intelligent Agricultural IoT Based on 5G

Survey of Intelligent Agricultural IoT Based on 5G

Edge IoT Prototyping Using Model-Driven Representations: A Use Case for Smart Agriculture

TOWARDS SUSTAINABLE SUBSISTENCE AGRICULTURE IN ROMANIA WITH LOW-COST IoT MODULES AND SOLUTIONS – PROOF OF CONCEPT

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